nach der Bestellung gedruckt Neuware - Printed after ordering - As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

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Detalles bibliogr�ficos

T�tulo: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
Editor: Information Science Reference
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 1522596119
ISBN 13: 9781522596110
Encuadernaci�n: Buch
Estado: Neu

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Sinopsis

As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

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Padmavathi Ganapathi is Professor and Head, Department of Computer Science. She has a total of 27 years teaching experience and 15 years research experience. Professor Ganapathi has more than 200 Publications and is a life member of: CSI, ISTE, AACE, and ISCA.

Shanmugapriya D. is the Assistant Professor and Head, Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, INDIA since 2001. She has more than 20 years of teaching experience and 10 years of research experience. Her areas of interest include, Cyber Security, Biometric security and Image Processing. She has executed funded projects sponsored by DRDO, DST and UGC. Currently Supervising 4 scholars at Ph.D level, she has more than 25 publications in peer-reviewed journals and Prestigious conferences . She is a Reviewer for many Conferences and Journals. She is a content Writer of Virtual Currency, Block Chain Technology and Basics of Security Auditing for SWAYAM-MOOC course on Cyber Security.

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